Acerca de este Curso

5,792 vistas recientes
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 7 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 7 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

ofrecido por

Placeholder

Universidad de Minnesota

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

14 minutos para completar

Preface

14 minutos para completar
2 videos (Total 14 minutos)
2 videos
The Goals of Evaluation10m
2 horas para completar

Basic Prediction and Recommendation Metrics

2 horas para completar
5 videos (Total 57 minutos), 1 lectura, 1 cuestionario
5 videos
Prediction Accuracy Metrics12m
Decision Support Metrics16m
Rank-Aware Top-N Metrics18m
Assignment Intro Video2m
1 lectura
Metric Computation Assignment Instructions10m
1 ejercicio de práctica
Basic Prediction and Recommendation Metrics Assignment30m
Semana
2

Semana 2

2 horas para completar

Advanced Metrics and Offline Evaluation

2 horas para completar
6 videos (Total 76 minutos), 1 lectura, 2 cuestionarios
6 videos
Additional Item and List-Based Metrics18m
Experimental Protocols13m
Unary Data Evaluation11m
Temporal Evaluation of Recommenders (Interview with Neal Lathia)12m
Programming Assignment Introduction8m
1 lectura
Evaluating Recommenders10m
2 ejercicios de práctica
Offline Evaluation and Metrics Quiz30m
Programming Assignment Quiz30m
Semana
3

Semana 3

2 horas para completar

Online Evaluation

2 horas para completar
4 videos (Total 66 minutos)
4 videos
Usage Logs and Analysis10m
A/B Studies (Field Experiments)11m
User-Centered Evaluation (Interview with Bart Knijnenburg)25m
1 ejercicio de práctica
Online Evaluation Quiz30m
Semana
4

Semana 4

1 hora para completar

Evaluation Design

1 hora para completar
3 videos (Total 31 minutos), 2 lecturas, 1 cuestionario
3 videos
Case Examples17m
Assignment Intro Video2m
2 lecturas
Intro to Assignment: Evaluation Design Cases10m
Quiz Debrief10m
1 ejercicio de práctica
Assignment: Evaluation Design Cases30m

Reseñas

Principales reseñas sobre RECOMMENDER SYSTEMS: EVALUATION AND METRICS

Ver todas las reseñas

Acerca de Programa especializado: Sistemas de recomendación

A Recommender System is a process that seeks to predict user preferences. This Specialization covers all the fundamental techniques in recommender systems, from non-personalized and project-association recommenders through content-based and collaborative filtering techniques, as well as advanced topics like matrix factorization, hybrid machine learning methods for recommender systems, and dimension reduction techniques for the user-product preference space. This Specialization is designed to serve both the data mining expert who would want to implement techniques like collaborative filtering in their job, as well as the data literate marketing professional, who would want to gain more familiarity with these topics. The courses offer interactive, spreadsheet-based exercises to master different algorithms, along with an honors track where you can go into greater depth using the LensKit open source toolkit. By the end of this Specialization, you’ll be able to implement as well as evaluate recommender systems. The Capstone Project brings together the course material with a realistic recommender design and analysis project....
Sistemas de recomendación

Preguntas Frecuentes

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.